Soybean yield gaps and water productivity in the western U.S. Corn Belt
By P. Grassini, J. Torrion, Haishun Yang, J. Rees, D. Andersen, K. Cassman, J. Specht. 2015
153 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Plant Science
View Paper: https://www.semanticscholar.org/paper/ff215587e003e0505b91798302c755c496b39023
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Agronomy and Crop Science
- P. Grassini
- K. Cassman
- Ignacio Antonio Ciampitti
- J. Thorburn
- Shawn P. Conley
- Alison J Eagle
- J. R. Edreira
- F. Salvagiotti
In Plant Science
- P. Grassini
- K. Cassman
- Ignacio Antonio Ciampitti
- J. Thorburn
- Shawn P. Conley
- J. R. Edreira
- F. Salvagiotti
- Tony Vyn
Citations in the corpus
- Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region (2018, result): “These results are consistent with findings from previous research based on farmer data collected from small geographic areas (e.g., Grassini et al., 2015), multiyear, multi-location replicated field experiments (e.g., Bastidas et al., 2008, Rowntree et al., 2013; Mourtzinis et al., 2016) and…”
- Benchmarking impact of nitrogen inputs on grain yield and environmental performance of producer fields in the western US Corn Belt (2020, methodology): “…by comparing average annual N fertilizer rates and yield derived from the NRD database against independent estimates from both producer survey data (Grassini et al., 2015; Gibson et al., 2019) and official statistics (USDA-NASS, http://quickstats.nass.usda.gov/; USDA-ERS,…”
- Agronomic Practices for Reducing Wheat Yield Gaps: A Quantitative Appraisal of Progressive Producers (2019, unknown): “Although surveys with a greater number of observations are preferred (Calviño and Sadras, 2002; Lobell et al., 2005; Grassini et al., 2015; Rattalino Edreira et al., 2017), yield-determining variables have been identified using similar or smaller number of observations (e.”